Application of the maximal covering location problem to habitat reserve site selection: a review

Stephanie Snyder; Robert G. Haight

doi:10.1177/0160017614551276

Treesearch

Application of the maximal covering location problem to habitat reserve site selection: a review

Formally Refereed

Authors:

Stephanie Snyder, Robert G. Haight

Year:

2016

Type:

Scientific Journal

Station:

Northern Research Station

DOI:

https://doi.org/10.1177/0160017614551276

Source:

International Regional Science Review. 39(1): 28-47.

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Abstract

The Maximal Covering Location Problem (MCLP) is a classic model from the location science literature which has found wide application. One important application is to a fundamental problem in conservation biology, the Maximum Covering Species Problem (MCSP), which identifies land parcels to protect to maximize the number of species represented in the selected sites. We trace the evolution of the MCSP from the MCLP, review extensions, and offer suggestions for new lines of research related to the MCSP.

Keywords

maximal covering species problem, MCLP, biological conservation, p-median, binary integer programming

Citation

Snyder, Stephanie A.; Haight, Robert G. 2016. Application of the maximal covering location problem to habitat reserve site selection: a review. International Regional Science Review. 39(1): 28-47.